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Dataset results
18 results for “Nonlinear Optics”
Dataset related to the publication "Transformation Optics: Large Multiphysics Simulation of Nonlinear Optomechanical Coupling in Microstructured Resonant Cavities", DOI: 10.1109/MMM.2018.2821086
<p>This folder contains the raw data from which the graphs in paper "Transformation Optics: Large Multiphysics Simulation of Nonlinear Optomechanical Coupling in Microstructured Resonant Cavities", DOI: 10.1109/MMM.2018.2821086, have been obtained.</p>
Image sensing with multilayer, nonlinear optical neural networks
<p>This data repository contains the information necessary to reproduce the main results of the paper “Image sensing with multiplayer, nonlinear optical neural networks”.</p> <p>This repository contains the data and the code for generating the figures in the manuscript "Image sensing with multilayer, nonlinear optical neural networks", including figures in the main text and in supplementary materials. The repository also contains the code for controling the experiment setup and running the experiments conducted in the paper:</p> <ul> <li>Folder 'Data_Collection_Example' and 'Data_Extraction_Example' contain example scripts for instrument control and data collection using the multilayer optical-neural-network sensor.</li> <li>Other folders are organized according to the figure panels in the main text, each containing the data and the code required to reproduce the plots in a main figure panel and its associated supplementary figures. In each of these folders, there is a README.txt file that summarizes the role of each file in the folder. </li> </ul>
Programmable nonlinear optical neuromorphic computing with bare 2D material MoS2
<p>This data set contains all resources for the research project "<span>Programmable nonlinear optical neuromorphic computing with bare 2D material MoS2" (published in Nature Communications (2024)).</span></p>
Data for The Persistence of Memory in Ionic Conduction Probed by Nonlinear Optics
<p>Experimental and computational data and analysis workflows for the manuscript "The Persistence of Memory in Ionic Conduction Probed by Nonlinear Optics" (doi:10.1038/s41586-023-06827-6). </p><p>Python scripts:</p><ol><li>paper_tke_plots_pub.py is for experimental TKE plots</li><li>analysis_pumping_pub.py is for computational TKE plots</li></ol><p>Python requirements for the work-up of experimental data are the typical scientific python stack: numpy, matplotlib, scipy, pandas, sympy. Computational counterpart of the TKE experiment uses essentially the same hopping analysis as our computational study https://www.nature.com/articles/s41563-022-01316-z with its scripting available at https://github.com/apoletayev/anomalous_ion_conduction/ . The python package requirements are, in addition to above, networkx, freud, deepgraph, fastparquet, pyarrow. All python scripts work best when run in a notebook-like fashion cell by cell (e.g. with spyder).<br><br>Experimental data: TKE, OKE, THz transmission.<br>Computational data: example simulations of Na beta-alumina, K beta-alumina, K beta"-alumina. The files include tracking the simulation temperatures, centers of mass of the mobile ions, and hopping. <br><br>Basic usage: download and unzip data. Install python dependencies (e.g. using conda or pip). Run python from the same directory in which the data folders are located. All paths in the scripts are relative.</p>
Public data for nonlinear optical computational histology
<p>Experimental datasets for training and testing nonlinear optical computational histology (NOCH), which include label-free nonlinear optical data: stimulated Raman scattering (SRS) images of human brain tumors and multiphoton (MP) images of human ovarian cancers, and the corresponding H&E slices. The <a href="https://github.com/shenblin/NOCH">contrastive deep learning framework</a> can generate diagnostic quality H&E slides comparable to conventional histopathology. </p> <p>If you find this work useful in your research, please consider citing the paper:</p> <p><a href="https://doi.org/10.1002/advs.202308630">B. Shen, Z. Li, Y. Pan, Y. Guo, Z. Yin, R. Hu, J. Qu, L. Liu, Noninvasive Nonlinear Optical Computational Histology. Adv. Sci. 2023, 2308630.</a></p>
Figure data for: Free-electron interaction with nonlinear optical states in microresonators
<p>This dataset contains the figure data and code for the paper "Free-electron interaction with nonlinear optical states in microresonators".</p>
Raw data for 'Low-loss high-Q silicon-rich silicon nitride microresonators for Kerr nonlinear optics'
<p>It's the raw data for the paper 'Low-loss high-Q silicon-rich silicon nitride microresonators for Kerr nonlinear optics'</p>
Noncentrosymmetric Lanthanide-Based MOF Materials Exhibiting Strong SHG Activity and NIR Luminescence of Er3+: Application in Nonlinear Optical Thermometry
<p>Optically active luminescent materials based on lanthanide ions attract significant attention due to their unique spectroscopic properties, nonlinear optical activity, and the possibility of application as contactless sensors. Lanthanide metal-organic frameworks (Ln-MOFs) that exhibit strong second-harmonic generation (SHG) and are optically active in the NIR region are unexpectedly underrepresented. Moreover, such Ln-MOFs require ligands that are chiral and/or need multistep synthetic procedures. Here, we show that the NIR pulsed laser irradiation of the noncentrosymmetric, isostructural Ln-MOF materials (MOF-Er<sup>3+</sup> (1) and codoped MOF-Yb<sup>3+</sup>/Er<sup>3+</sup> (2)) that are constructed from simple, achiral organic substrates in a one-step procedure results in strong and tunable SHG activity. The SHG signals could be easily collected, exciting the materials in a broad NIR spectral range, from ≈800 to 1500 nm, resulting in the intense color of emission, observed in the entire visible spectral region. Moreover, upon excitation in the range of ≈900 to 1025 nm, the materials also exhibit the NIR luminescence of Er<sup>3+</sup> ions, centered at ≈1550 nm. The use of a 975 nm pulse excitation allows simultaneous observations of the conventional NIR emission of Er<sup>3+</sup> and the SHG signal, altogether tuned by the composition of the Ln-MOF materials. Taking the benefits of different thermal responses of the mentioned effects, we have developed a nonlinear optical thermometer based on lanthanide-MOF materials. In this system, the SHG signal decreases with temperature, whereas the NIR emission band of Er<sup>3+</sup> slightly broadens, allowing ratiometric (Er<sup>3+</sup> NIR 1550 nm/SHG 488 nm) temperature monitoring. Our study provides a groundwork for the rational design of readily available and self-monitoring NLO-active Ln-MOFs with the desired optical and electronic properties.</p>
Supplementary material - Label-free multimodal nonlinear optical microscopy reveals hallmarks of bone composition in pathophysiological conditions
<p>The repository features Excel worksheets including all the data used through this work and reported in the manuscript figures and graphs. More precisely, we included the following: </p> <ul> <li>Figure 4. SHG intensity values measured from WT and KO murine spines counterparts, both in parallel and orthogonal light polarization with respect to the craniocaudal axis of the vertebrae.</li> <li>Figure 5A. Quantization of ColIa1 gene expression level after mRNA extraction from WT and Dpp3 KO mice.</li> <li>Figure 5B. Absorbance values at 540 nm after Sirius Red staining of primary osteoblast isolated from WT and Dpp3 KO neonatal calvaria, used to assess and compare the in-vitro collagen production of the two murine models.</li> <li>Figure 7. SRS intensity ratios measured between bone and bone marrow regions of WT and Dpp3 KO models, both at the 2850 cm-1 Raman mode of CH2 stretching in lipids and at the 2920 cm-1 Raman mode of CH3 stretching in proteins.</li> <li>Figure 8. Data of gene expression analysis of selected genes relevant for lipid transport, uptake, and metabolism (i.e., CD 36, Fabp4, Lrp1, Fatp1, PGC1, CPT1, Pex7 and Glut1), in the flushed bone of WT and Dpp3 KO mice.</li> </ul>
Analysis of the nonlinear optical response of excitons in type-I and type-II quantum wells including many-body correlations
<p>Dataset of the publication “Analysis of the nonlinear optical response of excitons in type-I and type-II quantum wells including many-body correlations”, A. Trautmann, M. Stein, F. Schäfer, D. Anders, C. Ngo, J. T. Steiner, M. Reichelt, S. Chatterjee, and T. Meier, Proc. SPIE 12419, Ultrafast Phenomena and Nanophotonics XXVII, 124190A (2023) ( <a href="https://doi.org/10.1117/12.2650169">https://doi.org/10.1117/12.2650169</a> ). The zip file includes the data on which the plots are based.</p>
Deep Ensemble Learning and Transfer Learning Methods for Classification of Senescent Cells from Nonlinear Optical Microscopy Images
<p>This Dataset contains the train and test NLO images in pickle format used for the following publication: Deep Ensemble Learning and Transfer Learning Methods for Classification of Senescent Cells from Nonlinear Optical Microscopy Images</p>
Linear-to-Circular Polarization Conversion with Full-Silica Meta-Optics to Reduce Nonlinear Effects in High-Energy Lasers - Nature Com - Dataset
<p>Data from the Nature Communication paper entitled "Linear-to-Circular Polarization Conversion with Full-Silica Meta-Optics to Reduce<br> Nonlinear Effects in High-Energy Lasers"</p> <p>.OPJU files can be opened with ORIGINLab</p> <p>. MAT files can be opened with MATLAB/SCILAB</p>
Nonlinear optical computing with disordered media -- Experimental Data for results in Supplementary Information
<p>Supplementary experimental data for nonlinear optical computing results with disordered media</p>
The role of altered lipid composition and distribution in liver fibrosis revealed by multimodal nonlinear optical microscopy
GEO Series GSE220856. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Record Voxel Rate Nonlinear Optical Microscope to Unravel Brain Connectome and Signaling-Establish Reliably Electrophysiological Readouts From Human-induced Pluripotent Stem Cells (hiPSCs)-Derived Cer
ClinicalTrials.gov study NCT05921786. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Record Voxel Rate Nonlinear Optical Microscope to Unravel Brain Connectome and Signaling
ClinicalTrials.gov study NCT05943262. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Phototoxic effects of nonlinear optical microscopy on cell cycle, oxidative states, and gene expression
GEO Series GSE197666. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
Tunable nonlinear optical mapping in a multiple-scattering cavity - Data set
<p>Data set for "Tunable nonlinear optical mapping in a multiple-scattering cavity article"</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.